Sequence Alignment and Location Tracking
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Application of Sequence Alignment Algorithms in Location Tracking Data to Determine Patient State in a Clinical Process

Mark Meyer, MD MPH
Laboratory of Computer Science
Massachusetts General Hospital

Harvard-MIT Division of Health Sciences and Technology
HST951 Final Project

Location tracking systems are becoming more widespread in healthcare, but novel applications using the wealth of data produced are still sparse. Utilizing a sequence alignment algorithm, we have demonstrated their application in healthcare with location tracking data to determine the type of patient based on predefined templates and the current stage of a patient in a clinical process. Future work will further refine the sequence alignment algorithm for use with location tracking data and clinical systems.

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